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1. 华南理工大学 广州 510641
2. 香港云龙科技有限公司 深圳 518000
[ "李磊,男,华南理工大学工程师,主要研究方向为云计算。" ]
[ "金连文,男,华南理工大学教授、博士生导师,主要研究方向为移动互联网、云计算、图像处理、机器学习。" ]
[ "黎德生,男,华南理工大学硕士研究生,主要研究方向为云计算、移动互联网终端技术、图像处理。" ]
[ "唐万万,男,香港云龙科技有限公司工程师,主要研究方向为云计算技术、网络集群化服务、公有云服务技术。" ]
网络出版日期:2014-01,
纸质出版日期:2014-01-20
移动端阅览
李磊, 金连文, 黎德生, 等. 基于OpenStack体系的多融合管道式服务云监控系统的研制[J]. 电信科学, 2014,30(1):24-30.
Lei Li, Lianwen Jin, Desheng Li, et al. Research on Multi-Function Pipeline Integrate Cloud Computing Monitoring System Based on OpenStack Structure[J]. Telecommunications science, 2014, 30(1): 24-30.
李磊, 金连文, 黎德生, 等. 基于OpenStack体系的多融合管道式服务云监控系统的研制[J]. 电信科学, 2014,30(1):24-30. DOI: 10.3969/j.issn.1000-0801.2014.01.004.
Lei Li, Lianwen Jin, Desheng Li, et al. Research on Multi-Function Pipeline Integrate Cloud Computing Monitoring System Based on OpenStack Structure[J]. Telecommunications science, 2014, 30(1): 24-30. DOI: 10.3969/j.issn.1000-0801.2014.01.004.
为了保证在云计算大集群规模下服务的稳定性和可靠性,针对目前云监控的需求,阐述了基于OpenStack工程体系结构研制的云监控系统,并详细论述了系统结构和关键技术点,包括所采用的工厂模式、Paste Deploy、管道、Eventlet协同程、面向对象的数据库SQL Alchemy等编程模式,使得系统具备了模块化、层次化、流水线化等结构特点,具备多模式融合、部署简易、高扩展性和二次开发简易等优势。测试结果表明,系统具备了功能服务的高稳定性、采集数据的高准确性以及与第三方客户端的易融合性,能有效地实现云计算平台的信息化监控。
To deal with the increasing of computer clusters which the increasing needs of cloud computing brings and guarantee stability and reliability of the service
a cloud computing monitoring system based on OpenStack structure to satisfy the needs of cloud computing monitor was designed. The system structure and key technologies were described
including factory model
Paste Deploy
pipeline
Eventlent green thread and object-oriented SQL Alchemy model
so the system has modularity
layering and pipeline. The advantage of the system includes multi-function integrating
easy deploy
high expansibility and redeveloping easily. The experimental result proves that the system has high stability
accurate data acquisition and high integration with the third client
and it can implement cloud computing monitoring informatization more effectively.
沈青 , 董波 , 肖德宝 . 基于服务器集群的云监控系统设计与实现 . 计算机工程与科学 2012 , 34 ( 10 ): 73 ~ 77
Mikyung K , Dong-In K , Stephen P . et al . Design and development of a run-time monitor for multi-core architectures in cloud computing . Sensors , 2011 , 11 ( 4 ): 3595 ~ 3610
Shao J , Wei H , Wang Q X , et al . A runtime model based monitoring approach for cloud . Proceedings of IEEE 3rd International Conference on Cloud Computing , Florida , 2010 : 313 ~ 320
赵海川 , 吴江 , 王鹏 等 . 面向电信业务的基础设施云监控系统 . 西北大学学报(自然科学版) 2012 , 42 ( 5 ): 729 ~ 734
Ruan L , Peng J B , Xiao L M , et al . Distributed virtual machine monitor for distributed cloud computing nodes integration . Lecture Notes in Computer Science , 2013 ( 7861 ): 23 ~ 31
DeChaves S A , Uriarte R B , Westphall C B . Toward an architecture for monitoring private clouds . Lecture Notes in Computer Science , IEEE , 2011 ( 49 ): 103 ~ 137
7 http://eventlet.net/ http://eventlet.net/ , 2012
Rick C . Essential SQL Alchemy . OˊReilly Media Inc , 2008
Stacklab:documentation:OpenStack-hacker . http://wiki.stacklab.org/doku.php id=stacklab:documentation:OpenStack-hacker http://wiki.stacklab.org/doku.php id=stacklab:documentation:OpenStack-hacker , 2013
Thamarai S , Somasundaram , Kannan G . Cloud monitoring and discovery service(CMDS)for IaaS resources . Proceedings of the Third International Conference on Advanced , India , 2011 : 340 ~ 345
董波 , 沈青 , 肖德宝 . 云计算集群服务器系统监控方法的研究 . 计算机工程与科学 2010 , 34 ( 10 ): 69 ~ 72
12 Get CPU usage with get system times . http://www.codeproject. com/Articles/9113/Get-CPU-Usage-with-GetSystemTimes http://www.codeproject. com/Articles/9113/Get-CPU-Usage-with-GetSystemTimes , 2011
Paste Deployment . http://pythonpaste.org/deploy/ http://pythonpaste.org/deploy/ , 2012
Zhao W B , Melliar-Smith P M , Moser L E . Fault tolerance middleware for cloud computing . Proceedings of IEEE the 3rd International Conference on Cloud Computing , India , 2010 : 67 ~ 74
Curl . http://baike.baidu.com/view/1326315.htm http://baike.baidu.com/view/1326315.htm , 2011
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